Development of near‐infrared reflectance spectroscopy calibration for sugar content in ground soybean seed using Perten DA7250 analyzer

Abstract

There is growing interest in developing calibrations for soybean [Glycine max (L.) Merr.] seed sugars on near-infrared reflectance spectroscopy (NIRS) instruments to increase the efficiency of sugar profiling. In this study, a set of 253 samples from Virginia Tech's soybean germplasm with a wide range of sugar content were used to create prediction models for sucrose, raffinose, and stachyose in ground soybean seed on the Perten DA7250 NIRS instrument. Following acquisition of spectral data, seed sugars were extracted from ground samples and analyzed using high-performance liquid chromatography (HPLC) to obtain reference data. Spectral and HPLC data were modeled using partial least squares regression (PLSR) on CAMO Unscrambler X software and internally cross-validated using the same software. Resulting calibrations showed high quantitative accuracy with the coefficient of determination of calibration (R 2 C) = .901, the coefficient of determination of cross-validation (R 2 CV) = .869, root mean squared error of calibration (RMSEC) = .516, and root mean squared error of cross-validation (RMSECV) of .596 for sucrose and R 2 C = .911, R 2 CV = .891, RMSEC = .361, and RMSECV of .405 for stachyose. These calibrations appear suitable for use in breeding operations. Meanwhile, performance of the raffinose calibration remained poor with R 2 C = .568, R 2 CV = .476, RMSEC = .129, and RMSECV = .143. Alternative methods for more accurate and rapid quantification of raffinose concentration in soybean seed should be investigated.

Interactions between nutrients and fruit secondary metabolites shape bat foraging behavior and protein absorption

“…We modified the extraction and quantification of sugars using high‐performance liquid chromatography (HPLC) described in Lord et al (2021). We weighed 10 mg of dried fecal sample and added 1 mL of HPLC water as the extraction solvent.…”

Seed physiological traits and environmental factors influence seedling establishment of vegetable soybean (Glycine max L.)

“…After centrifugation, 100 μL of the supernatant was mixed with 900 μL of 65% ACN and filtered through a 0.2 μm membrane into an HPLC sample vial. The concentrations of sucrose, stachyose, and raffinose were determined using HPLC in accordance with Lord et al., 2021 . Three samples were tested for each genotype, and each sample underwent two technical replicates.…”

“…A prior study by Vandecasteele et al (2011) suggested a potential negative correlation between seed vigor traits and the sucrose/raffinose ratio in the legume plant Medicago truncatula. Sucrose, raffinose, and stachyose were extracted from 17 genotypes to assess possible effects on germination (Lord et al, 2021). In brief, seeds were initially ground to a fine powder using a water-cooled grinder.…”